Machine learning models for the prediction of preclinical coal workers' pneumoconiosis: integrating CT radiomics and occupational health surveillance records.

Journal: Journal of translational medicine
Published Date:

Abstract

OBJECTIVES: This study aims to integrate CT imaging with occupational health surveillance data to construct a multimodal model for preclinical CWP identification and individualized risk evaluation.

Authors

  • Yankun Ma
    Environment and Non-Communicable Disease Research Center, School of Public Health, China Medical University, Shenyang, 110122, China.
  • Fengtao Cui
    Occupational Health Surveillance and Management Center, Occupational Disease Prevention and Control Institute, Huaibei Mining Co., Ltd., Huaibei, 235000, China.
  • Yulong Yao
    Department of Radiology, Occupational Disease Prevention and Control Institute, Huaibei Mining Co., Ltd., Huaibei, 235000, China.
  • Fuhai Shen
    School of Public Health, North China University of Science and Technology, Tangshan, 063210, China.
  • Hongyi Qin
    Beijing Kangyide Integrated Traditional Chinese and Western Medicine Pulmonary Hospital, Beijing, 101400, China.
  • Bing Li
  • Yan Wang
    College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China.